Low power gesture recognition system using skin statistics for consumer applications

M. Chandra, B. Lall
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引用次数: 3

Abstract

Hand gestures recognition offers an alternative and natural input interface to control the consumer devices thanks to the latest advancement in the vision systems. For example, it can replace the remote control of television or set top box. However, the power consumption is a big issue in such applications and seriously affects its usability in standby modes. In this paper, we analyze if power consumption can be reduced taking advantage of the unique characteristics of such applications. We also show that skin pixel statistics are useful for designing low power systems using this framework.
低功耗手势识别系统使用皮肤统计的消费应用
由于视觉系统的最新进展,手势识别为控制消费设备提供了另一种自然的输入界面。例如,它可以取代电视或机顶盒的遥控器。然而,在这些应用中,功耗是一个大问题,严重影响其待机模式的可用性。在本文中,我们分析了是否可以利用这类应用的独特特性来降低功耗。我们还表明,皮肤像素统计对于使用该框架设计低功耗系统是有用的。
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